parameter inference

DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation CVPR 2025 Prompt-based Unifying Inference Attack on Graph Neural Networks AAAI 2025 Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes AISTATS 2024 On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution NeurIPS 2024 Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation NeurIPS 2024 Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network NeurIPS 2023 Sampling-Based Accuracy Testing of Posterior Estimators for General Inference ICML 2023 Adjoint-aided inference of Gaussian process driven differential equations NeurIPS 2022 HNPE: Leveraging Global Parameters for Neural Posterior Estimation NeurIPS 2021 Parameter Inference with Bifurcation Diagrams NeurIPS 2021 Scalable gradient matching based on state space Gaussian Processes ACML 2021 Continuous Time Bayesian Networks with Clocks ICML 2020 ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems AAAI 2020 Efficient Neutrino Oscillation Parameter Inference with Gaussian Process AAAI 2019 MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models AAAI 2019 Black-Box Variational Inference for Stochastic Differential Equations ICML 2018 Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations AISTATS 2018 Overlapping Clustering Models, and One (class) SVM to Bind Them All NeurIPS 2018 Efficient and Flexible Inference for Stochastic Systems NeurIPS 2017 Flexible statistical inference for mechanistic models of neural dynamics NeurIPS 2017 Scalable Variational Inference for Dynamical Systems NeurIPS 2017 A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes JMLR 2016 Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching ICML 2016 Controversy in mechanistic modelling with Gaussian processes ICML 2015 It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NeurIPS 2013